The diffusion inference stack
Run managed diffusion at scale, at frontier efficiency on any silicon — hosted by Hedra or deployed on your own cluster.
Hedra Inference is the serving stack for frontier visual intelligence: video, audio, image, and world action, in our cloud or on clusters you own.
Built for visual inference, not retrofitted from text
Diffusion and autoregressive media workloads are a different serving problem than language. This stack is purpose-built for them: one inference stack across multiple modalities.
Video
Diffusion-transformer serving with step distillation, caching, and sequence parallelism across accelerators, suitable for massive scale.
T2V · I2V · Streaming
Image
Latency-tuned pipelines for interactive generation and batched throughput for production volume, from frontier diffusion models to fine-tuned applications.
T2I · Editing · Upscaling
Audio
Speech, music, and sound generation served at real-time latency: the audio layer for dubbing, localization, and interactive media at national scale.
Speech · Music · Sound
World action
Action-conditioned world models served at control-loop latency, from datacenter to edge: the serving layer for physical AI.
Robotics · Simulation · Edge
The world leader in efficient diffusion
From kernel optimization on heterogeneous hardware to redesigning architectures for lossless acceleration, Hedra delivers unparalleled economics and the lowest time to value.
Quantization
Distillation
Preference optimization
Auto-sharding
Attention & VAE drop-ins
Custom kernels
Any model. Any accelerator.
The stack profiles the hardware underneath and optimizes to it: the same model, the same API, across every backend you buy. Procurement stays a choice, not a constraint.
Our cloud or yours.
The same stack, the same models, and the same API wherever it runs. Call it on Hedra's infrastructure, or turn hardware you own into a frontier visual-intelligence platform without handing control to anyone.
Hosted by Hedra
Call every model through one API on infrastructure we operate. No cluster to stand up, no capacity to plan.
Build with the API →Inside your perimeter
Weights, data, and the control plane stay on infrastructure you operate, serving models you own, license, or build with us under your policies and evals. Air-gap ready: no external APIs, no external telemetry, no hosted dependencies. Nothing calls home.
Efficiency is the economics
Scheduling and queueing minimize idle compute; serving models more efficiently compounds value. Cluster size scales returns because the serving layer keeps up.
Custom models, built together.
We help your team develop your own models. You know your users and your data; we know how to train and tune frontier models.
Frontier inference
All of it runs on fully managed infrastructure, ours or yours on Kubernetes or bare metal: OpenTelemetry monitoring, priority queues, a durable job system, and RBAC. Operated with your team, supported by ours.
Hedra expertise
Years of pre- and post-training experience, applied to any model we serve. Your program starts from everything we have already learned.
Build together
Your team and ours work side by side, on your data and against your standards. The know-how transfers as we go: pipelines, recipes, evals.
Own the results
You end up with a better model and the ability to keep making it better. Both are yours.